Comparative study of optimizations for control problem using fuzzy type-2

• Autorzy: Cavalcante Mário Sérgio F. F. , Soares Livia M. C. M. , Araújo Ícaro B. Q. , Araújo Fábio M. U.

Identyfikatory

DOI

10.15199/48.2023.02.06

Warianty tytułu

PL

Badanie porównawcze optymalizacji problemu sterowania przy użyciu algorytmu rozmytego

• Języki publikacji: EN

Abstrakty

EN

In general, fuzzy logic are able to handle several problems that classic logic is not cabaple, mainly due its capacity to represent the imprecision and uncertanty of human logic and reasoning. But, even classic fuzzy logic or type-1 fuzzy logic are not adquate to fully represent the human knowledge, so type-2 fuzzy logic is more suitable to solve this problem. Controllers based on those logic are known as type-1 and type-2 fuzzy controllers, these controllers are hard to tune due its large number of parameters. In literature, there are a lot of strategy to solve this problem for both controllers based on meta-heuristics. To investigate and validate the controllers obtained it was used a Servo motor from Quanser, a control problem which requires precision and velocity in error correction. We tested several controlers and optimization techniques based on classic PI controllers and particle swarm optimization, genetic algorithms and ant colony optimization based on three diferents avaliation index IEA, ITEA e Goodhard index. By analyzing the results obtained, the type-2 fuzzy controller showed significant gain for the control of this plant, when optimized with the PSO method. From the results, it can also be inferred that the ant algorithm was not suitable for this problem, with the proposed evaluation function.

PL

W przemyśle kilka strategii i algorytmów sterowania jest już używanych i opisanych w literaturze. Wśród istniejących technik, regulatory rozmyte wyróżniają się zdolnością do radzenia sobie z poważnymi nieliniowościami występującymi w rzeczywistych instalacjach oraz zdolnością do reprezentowania wiedzy eksperckiej, która jest nieprecyzyjna i matematycznie niedokładna. W tej pracy zbadano dwa typy istniejących regulatorów rozmytych opartych na modelu Sugeno, są to rozmyte typu 1, tutaj sklasyfikowane jako konwencjonalne rozmyte i rozmyte typu 2. Analizując otrzymane wyniki, regulator rozmyty typu 2 wykazał znaczny zysk w sterowaniu t ˛a instalacją, gdy został zoptymalizowany metod ˛a PSO. Z wyników można równie ˙ z wywnioskować, że algorytm mrówkowy nie był odpowiedni dla tego problemu z zaproponowaną funkcją ewaluacyjną.

Słowa kluczowe

EN

CAD; optimal design; deterministic algorithms; evolutionary algorithms

PL

CAD; algorytm ewolucyjny; logika rozmyta

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2023
• Tom: R. 99, nr 2
• Strony: 37--50
• Opis fizyczny: Bibliogr. 35 poz., rys., tab., wykr.

Twórcy

autor

Cavalcante Mário Sérgio F. F.

• Department of Computer Engineering and Automation, Federal University of Rio Grande do Norte - Technology Center - Natal, Rio Grande do Norte, Brazil

autor

Soares Livia M. C. M.

• Federal Univesity of Alagoas - Maceió, Alagoas, Brazil

autor

Araújo Ícaro B. Q.

• Federal Univesity of Alagoas - Maceió, Alagoas, Brazil

autor

Araújo Fábio M. U.

• Federal University of Rio Grande do Norte - Technology Center - Natal, Rio Grande do Norte, Brazil

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).